A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy Control and Modeling: Analytical Foundations and Applications
Fuzzy Control and Modeling: Analytical Foundations and Applications
Optimal fuzzy reasoning and its robustness analysis: Research Articles
International Journal of Intelligent Systems - Intelligent and Soft Computing Techniques for Information Processing
An approach to measure the robustness of fuzzy reasoning: Research Articles
International Journal of Intelligent Systems
Arithmetic operators in interval-valued fuzzy set theory
Information Sciences: an International Journal
On the cardinalities of interval-valued fuzzy sets
Fuzzy Sets and Systems
Approximation and robustness of fuzzy finite automata
International Journal of Approximate Reasoning
Is there a need for fuzzy logic?
Information Sciences: an International Journal
International Journal of Intelligent Systems
Fuzzy logic based algorithms for maximum covering location problems
Information Sciences: an International Journal
Information Sciences: an International Journal
A fuzzy analysis of country-size argument for the Feldstein-Horioka puzzle
Information Sciences: an International Journal
Information Sciences: an International Journal
A Fuzzy Asymmetric GARCH model applied to stock markets
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
The development of a robust fuzzy inference mechanism
International Journal of Approximate Reasoning
Information Sciences: an International Journal
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
Comments on α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
On aggregating uncertain information by type-2 OWA operators for soft decision making
International Journal of Intelligent Systems
Information Sciences: an International Journal
On the stability of interval type-2 TSK fuzzy logic control systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Perceptual Computing: Aiding People in Making Subjective Judgments
Perceptual Computing: Aiding People in Making Subjective Judgments
Perturbation of fuzzy reasoning
IEEE Transactions on Fuzzy Systems
Robustness of fuzzy reasoning and δ-equalities of fuzzy sets
IEEE Transactions on Fuzzy Systems
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
Interval Type-2 fuzzy voter design for fault tolerant systems
Information Sciences: an International Journal
Robustness of interval-valued fuzzy inference
Information Sciences: an International Journal
A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles
Information Sciences: an International Journal
Information Sciences: an International Journal
eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System
Information Sciences: an International Journal
Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy
Information Sciences: an International Journal
Exact inversion of decomposable interval type-2 fuzzy logic systems
International Journal of Approximate Reasoning
A new indirect approach to the type-2 fuzzy systems modeling and design
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Fuzzy logic optimized wireless sensor network routing protocol
Journal of High Speed Networks
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Research on the robustness of fuzzy logic systems (FLSs), an imperative factor in the design process, is very limited in the literature. Specifically, when a system is subjected to small deviations of the sampling points (operating points), it is of great interest to find the maximum tolerance of the system, which we refer to as the system's robustness. In this paper, we present a methodology for the robustness analysis of interval type-2 FLSs (IT2 FLSs) that also holds for T1 FLSs, hence, making it more general. A procedure for the design of robust IT2 FLSs with a guaranteed performance better than or equal to their T1 counterparts is then proposed. Several examples are performed to demonstrate the effectiveness of the proposed methodologies. It was concluded that both T1 and IT2 FLSs can be designed to achieve robust behavior in various applications, and preference one or the other, in general, is application-dependant. IT2 FLSs, having a more flexible structure than T1 FLSs, exhibited relatively small approximation errors in the several examples investigated. The methodologies presented in this paper lay the foundation for the design of FLSs with robust properties that will be very useful in many practical modeling and control applications.